Investigation of Optimization for Rotor Design in IPMSM and Visualization with Dimension Reduction

Abstract

　Recently, one of the most important problems is energy shortage. Therefore, it is required the high efficiency electromagnetic device like motors. One of them is interior permanent magnetic synchronous motor (IPMSM). It has a high degree of freedom of shape design because permanent magnets are placed in the interior of a rotor. This paper presents optimal design method of a rotor in IPMSM by multi-objective genetic programming (MOGP). In this method, Pareto optimal solution is composed of high dimensional data. Therefore, it is compressed into 2D with dimension reduction method. Authors investigate obtained optimal structures and usefulness of the proposed method.